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List services (appointment types)

nookal_list_services
Read-onlyIdempotent

List the appointment types / services offered (id, name, category, duration in minutes, price, location, online-booking settings). Use a service id in get_availability. Nookal GraphQL: services.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number (default 1).
page_lengthNoItems per page, 1-100 (default 50).
service_idsNoOnly these services (numeric Nookal ids, up to 100).
location_idsNoOnly these locations' services (numeric Nookal ids, up to 100).
online_bookingsNotrue = only services bookable online, false = only diary-only services.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld, so the safety profile is fully covered. The description adds the GraphQL source mapping ('Nookal GraphQL: services') but nothing about pagination limits or result-set size, so it adds only modest value beyond structured data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short, front-loaded sentences with the field list first and the chaining hint second; no filler. The trailing 'Nookal GraphQL: services' is compact but somewhat cryptic metadata that an agent cannot act on, a minor waste of budget.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully compensates by enumerating returned fields, and annotations carry the safety profile. Pagination and total-count behavior are left to the schema, and filter-to-result relationships are implied rather than stated, so it is solid but not exhaustive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% – each of the five parameters (page, page_length, service_ids, location_ids, online_bookings) has its own documented semantics and bounds. The description mentions output fields rather than filters, so it adds no meaning beyond the schema; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List the appointment types / services offered') and enumerates the returned fields (id, name, category, duration, price, location, online-booking settings). That level of specificity lets an agent distinguish it from list_classes, list_locations, and the other list siblings without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The sentence 'Use a service id in get_availability' gives explicit downstream chaining guidance, which is genuinely useful context. It stops short of naming when NOT to use this tool or how it relates to list_classes, so it is clear context rather than full when/when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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